Multi-View 3D CG Image Quality Assessment for Contrast Enhancement Based on S-CIELAB Color Space
نویسندگان
چکیده
منابع مشابه
Color Image Clustering using Hybrid Approach based on CIELab Color Space
In contrast with the problem of phantom colors which fails the slow spatial variation along the edges results in the poor clustering of pixels from the color image science.[1] In this paper color clustering results are improved using an hybrid approach where we are combining the benefits of bilateral filter with an improved ant based clustering algorithm. Bilateral filter is a non iterative, lo...
متن کاملapplication of upfc based on svpwm for power quality improvement
در سالهای اخیر،اختلالات کیفیت توان مهمترین موضوع می باشد که محققان زیادی را برای پیدا کردن راه حلی برای حل آن علاقه مند ساخته است.امروزه کیفیت توان در سیستم قدرت برای مراکز صنعتی،تجاری وکاربردهای بیمارستانی مسئله مهمی می باشد.مشکل ولتاژمثل شرایط افت ولتاژواضافه جریان ناشی از اتصال کوتاه مدار یا وقوع خطا در سیستم بیشتر مورد توجه می باشد. برای مطالعه افت ولتاژ واضافه جریان،محققان زیادی کار کرده ...
15 صفحه اولTwo-row License Plate Extraction Based on CIELab Color Space in a Digital Image
A vehicle license plate recognition system extracts plate information from a digital image through image processing technology. License plate extraction (LPE) is the premise and key concept of license plate recognition systems. In China, two-row license plates are yellow and dirty. Thus, a novel license plate extraction method based on CIELab color space is proposed in this paper. The method in...
متن کاملDeveloping a PC-based portal image contrast enhancement program
ABSTRACTBackground: Delivering the radiation dose to the target volume and minimizing the dose to normal tissues are the main objectives in radiotherapy. The aim of our study is to enhance the contrast of the portal image to increase the accuracy of delineation of the organs in the irradiation field. Methods: The software was written based on local enhancement of the pixel values in image ma...
متن کاملMulti-technology Integration Based on Low-contrast Microscopic Image Enhancement
Microscopic image enhancement is an important issue of image processing technique, which is used to improve the visual quality of image. This paper describes a novel multi resolution image segmentation algorithm for low DOF images. The algorithm is designed to separate a sharply focused object of interest from other foreground or background objects. The algorithm is fully automatic in that all ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2017
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.2016edp7367